Forwarded from JavaScript
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If someone is good at agent harness , context engineering, orchestration but doesn't have much actual technical skill, how far can they go with a project in terms of complexity, scalability issues, and things like that... do u think someone take it to really actual project that worth and scaleΒΏ
π1
from the cofounder of tarteel and twitter engineer
https://qaf.ai/
https://qaf.ai/
qaf.ai
Qaf - Islamic AI
Qaf is an Islamic AI assistant designed to help Muslims learn, reflect, and ask questions about Islam in a simple chat experience.
β
Abstraction Vs control
Simplicity Vs lightweight
Simplicity Vs flexibility
Convenience(Dx) Vs performance
.......
Abstraction Vs control
Simplicity Vs lightweight
Simplicity Vs flexibility
Convenience(Dx) Vs performance
.......
π2π1
Learning Log
Javascript Fatigue
I just found out there is an actual well known term for the endless cycle of new tools coming out every day In js ecosystem....... Javascript fatigue
Learning Log
I just found out there is an actual well known term for the endless cycle of new tools coming out every day In js ecosystem....... Javascript fatigue
YouTube
JavaScript Fatigue
"JavaScript Fatigue" is the soundtrack to your tenth npm install of the day β a melodic meltdown for every developer who's ever drowned in build tools, breaking changes, and documentation older than your career.
This song captures the chaos of modern frontendβ¦
This song captures the chaos of modern frontendβ¦
Forwarded from YearProgressET
ββββββββββββββββ αΊαͺ% (92%)
FeralUI - a collection of playful, physics-driven React components like drop , swing, grap
feralui.dev
FeralUI Β· playful, physics-driven React elements
A small library of playful, physics-driven React elements: a ceiling pull-cord with a real Verlet rope, a claw-machine captcha, and more.
β€1
Simple mental model on program, container , VM
github repo program(source code) - depends on the both host user space(runtime/dependency) and kernel .
docker container - depends only on the host kernel ; its user space progrmas are packed inside the container
Virtual machine - it wont depend on both host kernel and user space programs . has its own kernl and user space prorams .
isolation increases : normal github repo program -> container -> VM
github repo program(source code) - depends on the both host user space(runtime/dependency) and kernel .
docker container - depends only on the host kernel ; its user space progrmas are packed inside the container
Virtual machine - it wont depend on both host kernel and user space programs . has its own kernl and user space prorams .
isolation increases : normal github repo program -> container -> VM
π₯2
It is a fact that those AI tools are automating much of the manual coding work that once required years of hands-on experience like mastering syntax, debugging, and writing boilerplate code. This gives devs more time to focus on deeper understanding, problem-solving, and designing
E.g: a simple HTML/CSS dashboard that once could be a paid freelancing job can now be generated by AI in minutes. and they aren't not a job anymore.
So now my question is: Why aren't university lecturers, who already have a deep understanding of computer science and how computers actually work, quickly learning these AI tools, building useful products with AI agents, and creating new sources of income?
If AI reduces the value of manual coding, shouldn't people with strong fundamentals be among those best positioned to take advantage of this shift?
E.g: a simple HTML/CSS dashboard that once could be a paid freelancing job can now be generated by AI in minutes. and they aren't not a job anymore.
So now my question is: Why aren't university lecturers, who already have a deep understanding of computer science and how computers actually work, quickly learning these AI tools, building useful products with AI agents, and creating new sources of income?
If AI reduces the value of manual coding, shouldn't people with strong fundamentals be among those best positioned to take advantage of this shift?
β€1π1